Write an Executive Summary¶
Executives care about the "so what," not the "how."
Structure of a 1-Pager¶
- The Problem: We are losing 10% of customers monthly. Costing £1M/year.
- The Solution: We built a model to predict churn 30 days in advance.
- The Impact: We can target the top 5% most likely to leave with a £10 voucher.
- Estimated ROI: Saving 2% of customers = +£200k/year.
- Cost to run: £10k/year in vouchers.
- The Ask: We need approval to run an A/B test on 10,000 customers next month.
What NOT to Include¶
- What algorithm you used (unless asked).
- How you scaled the data.
- What a confusion matrix is.
- Detailed hyperparameter tables.
KSB Mapping¶
| KSB | Description | How This Addresses It |
|---|---|---|
| S5 | Deployment, value assessment, and ROI | Translating model performance into business impact |
| S6 | Communicate through storytelling and visualisation | Presenting ML results to non-technical stakeholders |
| B4 | Consideration of organisational goals | Framing technical results in terms of business objectives |
| B1 | Inquisitive approach | Exploring creative ways to explain model behaviour |